Head of Foundation Models Lab

Job description

"

• Spearhead the development of Chery's proprietary foundation model stack and the industry-specific ""mid-size model"" line for mobility
• Drive pre-training in language & code, multi-modal fusion, instruction tuning, and safety alignment
• Architect an end-cloud foundation model service layer enabling unified model deployment
• Own model versioning, performance benchmarking, and continuous iteration cadence
• Collaborate across data, evaluation, and edge teams to close the loop from data → training → evaluation → deployment" "
• PhD in CS/AI or equivalent, with 5+ years in large model R&D
• Hands-on experience in foundation model pre-training, fine-tuning, or alignment — not just theory
• Led or played a core role in building at least one industry-specific model from research to production
• Publications at top-tier venues (NLP, multi-modal, code generation) are a strong plus
• Deep expertise in Transformer/MoE architectures, distributed training, and efficient inference"